R Notebook

Stan is a Probabilistic Programming Language. It is Turing complete \(-\) unlike the BUGS lanuage used by the likes of JAGS. This means that Stan is a “proper” programming language, giving you the freedom to write anything, putting it in the group of powerful languages like R and Rust instead of the one-trick ponies like OpenBUGS and \(\LaTeX\).

Of course, each language was designed differently, and just because you can doesn’t mean it is easy or you should. You wouldn’t want to explore a data set with C++ or write a smart phone app in R. As a probabilistic programming language, you’d probably want to stick with statistical models in Stan. The power comes in flexibility.

But, that doesn’t mean we can’t… Does everyone know the Fibonacci sequence? \(0, 1, 1, 2, 3, 5, 8, 13, \ldots\). We can easily program a function that calculates this in R:

map_int(0L:7L, fibR)

[1]  0  1  1  2  3  5  8 13

Almost as easily, we can do the same in Stan!

library(rstan)
options(mc.cores = parallel::detectCores()) # We don't need these right now, but
rstan_options(auto_write = TRUE)            # I always run them before I forget.

expose_stan_functions(stanc(model_code = fib_Stan_definition))
map_int(0L:7L, fibStan)

That’s not too bad to write! For reference, two popular ways to speed up R programs is to rewrite pieces in either C++

#include <Rcpp.h>
using namespace Rcpp;

// [[Rcpp::export]]
int fibCpp(int n){
  return n < 2 ? n : fibCpp(n-1) + fibCpp(n-2);
}

map_int(0L:7L, fibCpp)

or C

Which we must wrap to call from R:

fibCfunc <- getNativeSymbolInfo("fibCwrapper")
fibC <- function(n){
  .C(fibCfunc, as.integer(n))[[1]]
}
map_int(0L:7L, fibC)

or Fortran:

Fortran is not normally that bad. However, R isn’t easily allowed to call Fortran functions \(-\) only Fortran subroutines \(-\) forcing us to write a subroutine that calls the recursive Fibonacci sequence. Subroutines do not return anything, but modify inputs. This is efficient if you’re working on large arrays, but functions that return values are better if we’re dealing with lots of little integers. Fortran defaults to what’s fastest for giant arrays, while C and C++ to what’s faster for small arrays.

fibFortfunc <- getNativeSymbolInfo("fibFortran")
fibFortran <- function(n){
  .Fortran(fibFortfunc, as.integer(n))[[1]]
}
map_int(0L:7L, fibFortran)

while this is a lot of boiler plate, Fortran’s actually not bad for simple scientific computing. It is a high level language with great built in support for array types and operations. Although I’d strongly recomend learning Julia instead.

The Stan language is written in C++, and gets translated into C++. It is fast, and if you’re running a simulation in R that’s taking too long, it wouldn’t be unreasonable to write parts of it Stan just for the sake of speeding it up! Let’s choose a big number.

c(fibR(30), fibStan(30), fibCpp(30), fibC(30), fibFortran(30))

library(microbenchmark)
microbenchmark(
  fibR(30),
  fibStan(30),
  fibCpp(30),
  fibC(30),
  fibFortran(30),
  times = 20L
)

I was surprised to see Stan so much slower than C++, C, and Fortran. I am curious why this is.

But till a substantial speed up over the R version. The advantages of using Stan are that if you like Bayes you’ve got a great reason to learn it anyway, and that its syntax is the easiest of the three for scientific computing or writing statistical models, and Stan comes out of the box with loads of useful builtin functions. Plus an excellent manual whose target audience is you, a statistician.

Now that we’ve got functions down, let’s look at a more interesting example.

microbenchmark(
  fibR(30),
  fibStan(30),
  fibCpp(30),
  fibC(30),
  fibFortran(30),
  times = 20L
)

Unit: milliseconds

iris.kmeans$cluster

  [1] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3
 [47] 2 3 3 3 3 3 3 3 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 3 3 3 3 3 1 3 3 3 3 3 3 3 2 3 3 1 3
 [93] 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 1 3 1 1 1 3 1 3 3 1 1 1 1 1 1 3 3 1 3 1 3 1 1 3 1 1 1 1

(iris.kmeans$cluster == c(rep(2,subset),rep(3,subset),rep(1,subset))) %>% mean

[1] 0.8666667

DIAGNOSTIC(S) FROM PARSER:
Info (non-fatal):
Left-hand side of sampling statement (~) may contain a non-linear transform of a parameter or local variable.
If it does, you need to include a target += statement with the log absolute determinant of the Jacobian of the transform.
Left-hand-side of sampling statement:
    lambda ~ beta(...)

In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:380,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128>  { enum { value = true }; };
                                       ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128i> { enum { value = true }; };
                                        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 template<> struct is_arithmetic<__m128d> { enum { value = true }; };
                                        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
                                           ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:380,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
                                           ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
                                           ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:681:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4f>
                                   ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:691:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4i>
                                   ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:701:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 struct palign_impl<Offset,Packet2d>
                                   ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:772:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4f,4>& kernel) {
                                  ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:777:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet2d,2>& kernel) {
                                  ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:784:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4i,4>& kernel) {
                                  ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:371,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:383,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:35:39: warning: ignoring attributes on template argument ‘__m256’ {aka ‘__vector(8) float’} [-Wignored-attributes]
 template<> struct is_arithmetic<__m256>  { enum { value = true }; };
                                       ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:36:40: warning: ignoring attributes on template argument ‘__m256i’ {aka ‘__vector(4) long long int’} [-Wignored-attributes]
 template<> struct is_arithmetic<__m256i> { enum { value = true }; };
                                        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:37:40: warning: ignoring attributes on template argument ‘__m256d’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 template<> struct is_arithmetic<__m256d> { enum { value = true }; };
                                        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:116:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8f’ {aka ‘__vector(8) float’} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet8f> { typedef float  type; typedef Packet4f half; enum {size=8, alignment=Aligned32}; };
                                           ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:383,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:117:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4d’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet4d> { typedef double type; typedef Packet2d half; enum {size=4, alignment=Aligned32}; };
                                           ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:118:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8i’ {aka ‘__vector(4) long long int’} [-Wignored-attributes]
 template<> struct unpacket_traits<Packet8i> { typedef int    type; typedef Packet4i half; enum {size=8, alignment=Aligned32}; };
                                           ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:451:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8f’ {aka ‘__vector(8) float’} [-Wignored-attributes]
 struct palign_impl<Offset,Packet8f>
                                   ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:511:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4d’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 struct palign_impl<Offset,Packet4d>
                                   ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:538:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8f’ {aka ‘__vector(8) float’} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet8f,8>& kernel) {
                                  ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:566:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8f’ {aka ‘__vector(8) float’} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet8f,4>& kernel) {
                                  ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h:584:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4d’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 ptranspose(PacketBlock<Packet4d,4>& kernel) {
                                  ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:385,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h: In static member function ‘static void Eigen::internal::palign_impl<Offset, Eigen::internal::Packet4cf>::run(Eigen::internal::Packet4cf&, const Eigen::internal::Packet4cf&)’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h:170:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8f’ {aka ‘__vector(8) float’} [-Wignored-attributes]
     palign_impl<Offset*2,Packet8f>::run(first.v, second.v);
                                  ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:371,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h: At global scope:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8f’ {aka ‘__vector(8) float’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h:207:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet4cf,Packet8f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet8f’ {aka ‘__vector(8) float’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h:207:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet4cf,Packet8f)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:385,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h: In static member function ‘static void Eigen::internal::palign_impl<Offset, Eigen::internal::Packet2cd>::run(Eigen::internal::Packet2cd&, const Eigen::internal::Packet2cd&)’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h:350:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4d’ {aka ‘__vector(4) double’} [-Wignored-attributes]
     palign_impl<Offset*2,Packet4d>::run(first.v, second.v);
                                  ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:371,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h: At global scope:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4d’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h:387:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cd,Packet4d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4d’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
                                                                      ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h:387:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
 EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cd,Packet4d)
 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:364,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:10:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:10:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:364,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<int, -1>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<int, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:284:8:   required from ‘struct Eigen::internal::traits<Eigen::PermutationMatrix<-1, -1, int> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:120:8:   required from ‘struct Eigen::internal::traits<Eigen::Transpositions<-1, -1, int> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:22:42:   required from ‘class Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:158:7:   required from ‘class Eigen::Transpositions<-1, -1, int>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:280:23:   required from ‘class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:41:15:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<int, -1, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:23:42:   required from ‘class Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpositions.h:158:7:   required from ‘class Eigen::Transpositions<-1, -1, int>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:280:23:   required from ‘class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:41:15:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<int>::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:42:29:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:42:41:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)2>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:42:45:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp:28,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/shared_ptr.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/detail/shared_count.hpp:355:33: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
                                 ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/shared_ptr.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp:256:65: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
 template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
                                                                 ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/shared_ptr.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp:471:31: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
                               ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/shared_ptr.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp:484:22: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
                      ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/shared_ptr.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp:567:34: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> & r )
                                  ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/shared_ptr.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp:576:34: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
     shared_ptr & operator=( std::auto_ptr<Y> && r )
                                  ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/shared_ptr.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/smart_ptr/shared_ptr.hpp:578:38: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
                                      ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:29:29:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:25:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:33:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:112:33:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:62:17:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_rng.hpp:79:67:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/numeric/odeint.hpp:25,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/arr.hpp:44,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat.hpp:325,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:12,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/get_pointer.hpp: At global scope:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
 template<class T> T * get_pointer(std::auto_ptr<T> const& p)
                                        ^~~~~~~~
In file included from /usr/include/c++/8/bits/locale_conv.h:41,
                 from /usr/include/c++/8/locale:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical_streams.hpp:43,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/detail/converter_lexical.hpp:54,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast/try_lexical_convert.hpp:42,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/lexical_cast.hpp:32,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/tools/convert_from_string.hpp:15,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/BH/include/boost/math/constants/constants.hpp:13,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/scal/fun/constants.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/operator_unary_plus.hpp:7,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:36,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/usr/include/c++/8/bits/unique_ptr.h:53:28: note: declared here
   template<typename> class auto_ptr;
                            ^~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:6:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:44:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:24:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:59:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54:   required from ‘struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:43:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:120:43:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:31:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:57:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:128:21:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:58:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:190:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10:   required from ‘class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from ‘struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:43:26:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Ref.h:197:63:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:35:53:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:35:65:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:179:78:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:179:78:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:190:64:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:191:63:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:193:35:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:193:35:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:195:35:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:42:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:364,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet_helper<1, __vector(4) double, false>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88:   required from ‘struct Eigen::internal::find_best_packet<double, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:182:99: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename unpacket_traits<PacketType>::half>::type type;
                                                                                                   ^~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:67:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:67:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:67:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:65:   recursively required by substitution of ‘template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot<OtherDerived>(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:65:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:35:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:78:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:78:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:189:58:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:189:67:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:190:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:190:71:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:204:65:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:205:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:273:19:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:274:23:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:363:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:26:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:64:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:73:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:461:73:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:324:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:324:61:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:324:75:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:402:79:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48:   required from ‘void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:24:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:85:44:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:245:57:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:85:52:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:245:57:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:118:17:   required from ‘Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:38:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:29:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:291:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:29:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:291:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:34:70:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:241:25:   required from ‘static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:491:3:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:115:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:487,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                         ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                         ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                         ^~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:487,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int mr = 12; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::ResScalar = double]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1532:86: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
               (SwappedTraits::LhsProgress!=8 || unpacket_traits<SResPacketHalf>::size==nr))
                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1584:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1585:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1586:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1587:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
                                                                                                                                       ^~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:364,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 144>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 12, 12, 0, 12, 12> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 12, 12, 0, 12, 12> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 12, 12, 0, 12, 12>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 12; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 12, 12, 0, 12, 12> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 12, 12, 0, 12, 12> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 12, 12, 0, 12, 12> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 12, 12, 0, 12, 12>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 12; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:46:19:   required from ‘static double stan::math::{anonymous}::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:135:21:   required from ‘stan::math::{anonymous}::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::{anonymous}::dot_product_store_type<T1>::type, typename stan::math::{anonymous}::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::{anonymous}::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::{anonymous}::dot_product_store_type<T2>::type = stan::math::vari**; size_t = long unsigned int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:48:57:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:77:35:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:97:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:116:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:181:29:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:32:47:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1294:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:487,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:179:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:48:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:295:10:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:318:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:318:46:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:345:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:351:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:351:67:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:32:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:372:58:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:380:34:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:242:27:   required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:201:36:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:35:53:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:35:53:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:35:41:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:38:46:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:41:25:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:56:24:   required from ‘void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:9:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:107:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:137:17:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:126:35:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:19:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0, 5>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, 1, -1>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:144:54:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:150:48:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:152:49:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:34:70:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 12, 0, 12, 12> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 12, 0, 12, 12> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 12, 0, 12, 12> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 12, 0, 12, 12> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 12, 12, 0, 12, 12>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 12, 12, 0, 12, 12>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 12; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:22:71:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:241:34:   required from ‘static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:455:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1322:8:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1401:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, (Eigen::internal::ComparisonName)0>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:380:19:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from ‘typename boost::math::tools::promote_args<T1, T2>::type stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<S, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; typename boost::math::tools::promote_args<T1, T2>::type = double]’
file17021570c4b0.cpp:453:63:   required from ‘T__ model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/newton.hpp:61:14:   required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:487:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:76:42:   required from ‘typename boost::math::tools::promote_args<T1, T2>::type stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix<S, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; typename boost::math::tools::promote_args<T1, T2>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from ‘typename boost::math::tools::promote_args<T1, T2>::type stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<S, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; typename boost::math::tools::promote_args<T1, T2>::type = double]’
file17021570c4b0.cpp:453:63:   required from ‘T__ model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/newton.hpp:61:14:   required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:487:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:75:47:   required from ‘typename boost::math::tools::promote_args<T1, T2>::type stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix<S, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; typename boost::math::tools::promote_args<T1, T2>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from ‘typename boost::math::tools::promote_args<T1, T2>::type stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<S, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; typename boost::math::tools::promote_args<T1, T2>::type = double]’
file17021570c4b0.cpp:453:63:   required from ‘T__ model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/newton.hpp:61:14:   required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:487:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:318:7:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:27:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:61:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:420:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/advi.hpp:240:15:   required from ‘double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/variational/advi.hpp:497:17:   required from ‘int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:85:11:   required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:885:18:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:133:29:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1292:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:25:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1294:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:46:19:   required from ‘static double stan::math::{anonymous}::dot_product_vari<T1, T2>::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:135:21:   required from ‘stan::math::{anonymous}::dot_product_vari<T1, T2>::dot_product_vari(typename stan::math::{anonymous}::dot_product_store_type<T1>::type, typename stan::math::{anonymous}::dot_product_store_type<T2>::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::{anonymous}::dot_product_store_type<T1>::type = stan::math::vari**; typename stan::math::{anonymous}::dot_product_store_type<T2>::type = stan::math::vari**; size_t = long unsigned int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:48:57:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:487,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 12; int Pack2 = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0>; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor<double, long int, Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
             PacketBlock<Packet> kernel;
                                 ^~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 12; int Pack2 = 4; bool Conjugate = true; bool PanelMode = false]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28:   required from ‘static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:127:57:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1839:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:107:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:137:17:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1294:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:507:77:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:27:   required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:519:51:   required from ‘Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7:   required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:666:10:   required from ‘const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:40:32:   required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:24:66:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:38:25:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:364,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 12>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:434:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
                                                                                        ^~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/dot_self.hpp:20:24:   required from ‘double stan::math::dot_self(const Eigen::Matrix<double, R, C>&) [with int R = 1; int C = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:133:29:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:218:29:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:266:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1292:36:   required from ‘const Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:381:84:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:194:9:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:438:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:487,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:434:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1973:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
                                                              ^~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 4, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:22:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:365,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43:   required from ‘Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType>::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9:   required from ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:24:62:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1322:8:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1401:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58:   required from ‘typename boost::math::tools::promote_args<T1, T2>::type stan::math::lkj_corr_cholesky_log(const Eigen::Matrix<S, -1, -1>&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; typename boost::math::tools::promote_args<T1, T2>::type = double]’
file17021570c4b0.cpp:453:63:   required from ‘T__ model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/newton.hpp:61:14:   required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:487:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:491:3:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:115:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 1, 0, 12, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 1, 0, 12, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 1, 0, 12, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 12, 1, 0, 12, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 12, 12, 0, 12, 12>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from ‘Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7:   required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:494,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
                                                                                                                         ^~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
                                                                                                                         ^~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:95:43:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 12, 1, 0, 12, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 12, 1, 0, 12, 1>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 12, 1, 0, 12, 1>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 12, 1, 0, 12, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 12, 1, 0, 12, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 12, 1, 0, 12, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:20:28:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:41:15:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = Eigen::internal::assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:38:25:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:38:25:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:41:15:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:179:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:541:7:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:38:25:   required from ‘Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/bfgs.hpp:239:18:   required from ‘int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:121:15:   required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:502:41:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:179:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:541:7:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:5:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::DenseBase<Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from ‘const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9:   required from ‘void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:491:3:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:115:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:126:35:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:126:35:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 1>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:265:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:126:35:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 1>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; int Mode = 2; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; int Mode = 1; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = const Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; int Mode = 2; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; int Mode = 1; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = const Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
                                                                       ^~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
 typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
                                                                       ^~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:53:11:   required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38:   required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:623:37:   required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1200:18:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:840:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:490,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:265:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:126:35:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; int Mode = 2; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; int Mode = 1; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = const Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
                                                              ^~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; int Mode = 2; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; int Mode = 1; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = const Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Matrix<double, 1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, 1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/optimization/newton.hpp:21:55:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:36:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; int Mode = 2; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:129:31:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:436,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op<double, double>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:126:35:   required from ‘typename stan::return_type<T_x, T_beta, T_alpha>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_beta, T_alpha>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:162:43:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:40:57:   required from ‘typename stan::return_type<T_x, T_sigma, T_l>::type stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_covar = Eigen::Matrix<double, -1, -1>; typename stan::return_type<T_x, T_sigma, T_l>::type = double]’
file17021570c4b0.cpp:628:87:   required from ‘void model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/rstan/include/rstan/stan_fit.hpp:1090:5:   required from ‘SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]’
file17021570c4b0.cpp:862:142:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   enum {
        ^
In file included from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Core:430,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/Dense:1,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core/matrix_vari.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/core.hpp:14,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math/rev/mat.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/stan/math.hpp:4,
                 from /home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file17021570c4b0.cpp:8:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:287:48:   required from ‘bool stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::build_tree(int, stan::mcmc::ps_point&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double, double, int&, double&, double&, stan::callbacks::logger&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:114:17:   required from ‘stan::mcmc::sample stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:75:7:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:48:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:29:   required from ‘double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:36:52:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Dot.h:81:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:29:   required from ‘double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from ‘static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/MapBase.h:215:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:70:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60:   required from ‘double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model170262ba521f_stan_170279cf2c85_namespace::model170262ba521f_stan_170279cf2c85; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]’
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:14:   required from here
/home/chris/R/x86_64-pc-linux-gnu-library/3.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__vector(4) double’} [-Wignored-attributes]

gen_kmeans_res <- replicate(1e1,
  optimizing(
    gen_kmeans,
    data = list(
        N = subset*3,
        K = 3,
        D = 4,
        y = iris_train,
        mu_mu0 = 0,
        mu_sigma0 = 5,
        lSigma_mu0 = -2,
        lSigma_sigma0 = 2,
        eta = 1,
        PES = 1000
    ),
    as_vector = FALSE
  ),
  simplify = FALSE
)

Error in subset * 3 : non-numeric argument to binary operator

gen_kmeans_assignemnts

  [1] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1
 [47] 3 1 1 1 1 1 1 1 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 2 1 1 1 1 1 1 1 3 1 1 2 1
 [93] 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 2 2 2 1 2 1 1 2 2 2 2 2 2 1 1 2 1 2 2 2 2 1 2 2 2 2

(gen_kmeans_assignemnts == c(rep(3,subset), rep(1, subset), rep(2, subset))) %>% mean

[1] 0.8740741

expose_stan_functions(stanc(here("generalized_kmeans.stan")))
par <- gen_kmeans_result$par
L_list <- lapply(1:3, function(i) par$L[i,,])
normal_mixture_lpdf(iris_mat, par$lambda, par$mu, L_list)

normal_mixture_fast_lpdf(iris_mat, par$lambda, par$mu, L_list)

normal_mixture_fast2_lpdf(iris_mat, par$lambda, par$mu, L_list)

iris_mean_mat <- iris_means[,-1] %>% as.matrix()
iris_L_list <- lapply(
  0:2, function(i){
    iris_mat[(1:50) + (50*i),] %>% cov() %>% chol() %>% t
  }
)


normal_mixture_lpdf(iris_mat, rep(1/3,3), iris_mean_mat, iris_L_list)

mvnormal_mixtuRe <- function(y, lambda, mu, L){
  K <- ncol(mu)
  Li <- lapply(L, solve)
  loglambda <- log(lambda) + map_dbl(Li, ~ sum(log(diag(.x)))) - 0.5*log(2*pi)*nrow(mu)
  # browser()
  sum(
    apply(y, 2, function(yn){
      delta <- yn - mu
      # browser()
      delta <- sapply(1:K, function(k) Li[[k]] %*% delta[,k])
      kernels <- loglambda - 0.5 * colSums(delta * delta)
      log(sum(exp(kernels)))
    })
  )
}
iris_mat_t <- iris_mat %>% t()
par_mu_t <- par$mu %>% t()
mvnormal_mixtuRe(iris_mat_t, par$lambda, par_mu_t, L_list)

cat('
module mixture

implicit none


contains


  subroutine invert_triangle(Ti, logdet, T, N)
    real(8),  parameter                         :: nhlogtau = -9.189385332046727417803297364056D-01 ! -log(2*pi)/2
    integer,                  intent(in)        :: N
    real(8),  dimension(N,N), intent(out)       :: Ti
    real(8),                  intent(out)       :: logdet
    real(8),  dimension(N,N), intent(in)        :: T
    integer                                     :: i, j, k
    real(8)                                     :: x, y

    logdet = N * nhlogtau ! only because this is for calculating multivariate normal density. Otherwise 0d0.
    do i = 1,N
      do j = 1,i-1
        Ti(j,i) = 0
      end do
      Ti(i,i) = 1/T(i,i)
      logdet = logdet + dlog(Ti(i,i))
    end do
    do j = 1,N-1 ! row_displacement
      do i = 1,N-j ! column
        x = Ti(j+i,i+1) * T(i+1,i)
        do k = i+2,j+i
          x = x + Ti(j+i,k) * T(k,i)
        end do
        Ti(j+i,i) = -Ti(i,i) * x
      end do
    end do

  end subroutine

  subroutine mvnormal_mixture4(ld, y, lambda, mu, L, N, K) bind(C, name = "MVNormalMixture4")
    real(8),                      intent(out)   ::  ld
    integer,                      intent(in)    ::  N, K
    real(8),  dimension(4, N),    intent(in)    ::  y
    real(8),  dimension(K),       intent(in)    ::  lambda
    real(8),  dimension(4, K),    intent(in)    ::  mu
    real(8),  dimension(4,4, K),  intent(inout) ::  L

    call mvnormal_mixture(ld, y, lambda, mu, L, N, 4, K)

  end subroutine mvnormal_mixture4

  subroutine mvnormal_mixture(ld, y, lambda, mu, L, N, D, K) bind(C, name = "MVNormalMixture")
    real(8),                      intent(out)   ::  ld
    integer,                      intent(in)    ::  N, D, K
    real(8),  dimension(D, N),    intent(in)    ::  y
    real(8),  dimension(K),       intent(in)    ::  lambda
    real(8),  dimension(D, K),    intent(in)    ::  mu
    real(8),  dimension(D,D, K),  intent(inout) ::  L

    real(8),  dimension(K)                      ::  theta, loglambda, LogDets
    real(8),  dimension(D, D, K)                ::  Li
    integer                                     ::  i, j

    ld = 0d0

    do j = 1,K
      call invert_triangle(Li(:,:,j), LogDets(j), L(:,:,j), D)
    end do
    loglambda = log(lambda) + LogDets

    do i = 1,N
      do j = 1,K
        theta(j) = mvnormal_precision_kernel_lpdf(y(:,i), mu(:,j), Li(:,:,j), D)
      end do
      ld = ld + log(sum(exp(loglambda + theta)))
    end do

  end subroutine mvnormal_mixture


  function mvnormal_precision_kernel_lpdf(y, mu, Li, D) result(p)
    integer,                    intent(in)  ::  D
    real(8),  dimension(D),     intent(in)  ::  y, mu
    real(8),  dimension(D, D),  intent(in)  ::  Li
    real(8)                                 ::  p
    real(8),  dimension(D)                  ::  delta

    delta = matmul(Li, y - mu)
    p = - 0.5 * sum(delta*delta)

  end function mvnormal_precision_kernel_lpdf

end module mixture
', file = "modmix.f90")


dyn.unload("modmix.so")
system("R CMD SHLIB modmix.f90")

dyn.load("modmix.so")
fortmix <- getNativeSymbolInfo("MVNormalMixture")
fortmix4 <- getNativeSymbolInfo("MVNormalMixture4")
fibFortran <- function(y, lambda, mu, L){
  .Fortran(fortmix, 0, y, lambda, mu, L, ncol(y), nrow(y), length(lambda))[[1]]
}
fibFortran4 <- function(y, lambda, mu, L){
  D <- nrow(y)
  if (D == 4){
    lp <- .Fortran(fortmix4, 0, y, lambda, mu, L, ncol(y), length(lambda))[[1]]
  } else {
    lp <- .Fortran(fortmix, 0, y, lambda, mu, L, ncol(y), D, length(lambda))[[1]]
  }
  lp
}


par_L_t <- par$L %>% aperm(c(2,3,1))


fibFortran4(iris_mat_t, par$lambda, par_mu_t, par_L_t)

iris_mean_mat_t <- iris_mean_mat %>% t()
iris_L <- iris_L_list %>% simplify2array()

fibFortran4(iris_mat_t, rep(1/3,3), iris_mean_mat_t, iris_L)


microbenchmark(
  mvnormal_mixtuRe(iris_mat_t, par$lambda, par_mu_t, L_list),
  normal_mixture_lpdf(iris_mat, rep(1/3,3), iris_mean_mat, iris_L_list),
  normal_mixture_fast_lpdf(iris_mat, rep(1/3,3), iris_mean_mat, iris_L_list),
  normal_mixture_fast2_lpdf(iris_mat, rep(1/3,3), iris_mean_mat, iris_L_list),
  fibFortran4(iris_mat_t, rep(1/3,3), iris_mean_mat_t, iris_L),
  fibFortran(iris_mat_t, rep(1/3,3), iris_mean_mat_t, iris_L)
)

The true values used to generate the data were c(0.11, 0.35), c(0.83,0.99), c(0.74,0.99).

binary_misclassification_res

ylist <- lapply(1:2, function(i) as.integer(y[i,]))
misclassified_dual_binomial_lpmf(ylist, c(0.11, 0.35), c(0.83,0.99), c(0.74,0.99))

misclassified_dual_binomiald_lpdf(y, c(0.11, 0.35), c(0.83,0.99), c(0.74,0.99))

library(microbenchmark)
microbenchmark(
  misclassified_dual_binomial_lpmf(ylist, c(0.11, 0.35), c(0.83,0.99), c(0.74,0.99)),
  misclassified_dual_binomiald_lpdf(y, c(0.11, 0.35), c(0.83,0.99), c(0.74,0.99))
)

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